Effects of Excluding Those Who Report Having "Syndomitis" or "Chekalism" on Data Quality: Longitudinal Health Survey of a Sample From Amazon's Mechanical Turk.

Ron D Hays Nabeel Qureshi Patricia M Herman Anthony Rodriguez Arie Kapteyn Maria Orlando Edelen

Published in: Journal of medical Internet research (2023)

This study provides evidence that asking about fake health conditions can help to screen out respondents who may be dishonest or careless. We recommend this approach be used routinely in samples of members of MTurk.

Keyphrases

healthcare
public health
electronic health record
mental health
high throughput
big data
cross sectional
health information
quality improvement
risk assessment
machine learning
deep learning
social media
single cell